diff --git a/speech/cloud-client/transcribe_time_offsets_with_language_change.py b/speech/cloud-client/transcribe_time_offsets_with_language_change.py
new file mode 100644
index 00000000000..6bdad4bce2d
--- /dev/null
+++ b/speech/cloud-client/transcribe_time_offsets_with_language_change.py
@@ -0,0 +1,134 @@
+#!/usr/bin/env python
+
+# Copyright 2017 Google Inc. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Language code : https://support.google.com/googleplay/android-developer/table/4419860?hl=en
+#
+
+
+"""Google Cloud Speech API sample that demonstrates word time offsets with language change option.
+Example usage:
+    python transcribe_word_time_offsets.py -s <language> resources/audio.raw
+    python transcribe_word_time_offsets.py -s <language> \gs://cloud-samples-tests/speech/vr.flac
+"""
+
+import argparse
+import io
+
+from google.oauth2 import service_account
+
+
+credentials = service_account.Credentials.from_service_account_file('Speech2Text-71ae27307424.json')
+
+
+def transcribe_file_with_word_time_offsets(speech_file,language):
+    """Transcribe the given audio file synchronously and output the word time
+    offsets."""
+    print("Start")
+    
+    from google.cloud import speech
+    from google.cloud.speech import enums
+    from google.cloud.speech import types  
+    
+    print("checking credentials")
+      
+    client = speech.SpeechClient(credentials=credentials)
+    
+    print("Checked")
+    with io.open(speech_file, 'rb') as audio_file:
+        content = audio_file.read()
+              
+    print("audio file read")    
+    
+    audio = types.RecognitionAudio(content=content)
+    
+    print("config start")
+    config = types.RecognitionConfig(
+            encoding=enums.RecognitionConfig.AudioEncoding.FLAC,
+            language_code=language,
+            enable_word_time_offsets=True)
+    
+    print("Recognizing:")
+    response = client.recognize(config, audio) 
+    print("Recognized")
+
+    for result in response.results:
+        alternative = result.alternatives[0]
+        print('Transcript: {}'.format(alternative.transcript))
+
+        for word_info in alternative.words:
+            word = word_info.word
+            start_time = word_info.start_time
+            end_time = word_info.end_time
+            print('Word: {}, start_time: {}, end_time: {}'.format(
+                word,
+                start_time.seconds + start_time.nanos * 1e-9,
+                end_time.seconds + end_time.nanos * 1e-9))
+
+
+# [START def_transcribe_gcs]
+def transcribe_gcs_with_word_time_offsets(gcs_uri,language):
+    """Transcribe the given audio file asynchronously and output the word time
+    offsets."""
+    from google.cloud import speech
+    from google.cloud.speech import enums
+    from google.cloud.speech import types
+    client = speech.SpeechClient()
+
+    audio = types.RecognitionAudio(uri=gcs_uri)
+    config = types.RecognitionConfig(
+        encoding=enums.RecognitionConfig.AudioEncoding.FLAC,
+        sample_rate_hertz=16000,
+        language_code=language,
+        enable_word_time_offsets=True)
+
+    operation = client.long_running_recognize(config, audio)
+
+    print('Waiting for operation to complete...')
+    result = operation.result(timeout=90)
+
+    for result in result.results:
+        alternative = result.alternatives[0]
+        print('Transcript: {}'.format(alternative.transcript))
+        print('Confidence: {}'.format(alternative.confidence))
+
+        for word_info in alternative.words:
+            word = word_info.word
+            start_time = word_info.start_time
+            end_time = word_info.end_time
+            print('Word: {}, start_time: {}, end_time: {}'.format(
+                word,
+                start_time.seconds + start_time.nanos * 1e-9,
+                end_time.seconds + end_time.nanos * 1e-9))
+# [END def_transcribe_gcs]
+
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter)
+    parser.add_argument(dest='path', help='File or GCS path for audio file to be recognized')
+    parser.add_argument("-s","--string", type=str, required=True)
+    args = parser.parse_args()
+    if args.path.startswith('gs://'):
+        transcribe_gcs_with_word_time_offsets(args.path,args.string)
+    else:
+        transcribe_file_with_word_time_offsets(args.path,args.string)
+
+
+
+
+
+